Min-max discriminant analysis based on gradient method for feature extraction.
Jie DingGuoqi LiChangyun WenChin-Seng ChuaPublished in: ICARCV (2014)
Keyphrases
- discriminant analysis
- min max
- gradient method
- feature extraction
- linear discriminant analysis
- convergence rate
- face recognition
- principal component analysis
- negative matrix factorization
- optimization methods
- fisher criterion
- step size
- image classification
- discriminant projection
- dimension reduction
- neural network
- dimensionality reduction
- feature vectors
- pattern recognition
- kernel principal component analysis
- feature space
- data mining
- support vector machine svm
- nearest neighbor
- multiresolution
- data analysis
- image processing
- feature selection